Market revenue prediction and error analysis of products based on fuzzy logic and artificial intelligence algorithms
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ORIGINAL RESEARCH
Market revenue prediction and error analysis of products based on fuzzy logic and artificial intelligence algorithms Zhao Jian1 · Zhang Qingyuan1 · Tian Liying1 Received: 18 August 2019 / Accepted: 12 December 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Neural networks can approximate the neuron information of all quantitative or qualitative nonlinear relationship, any complex is stored in the potential distribution in the network. It has strong robustness and fault tolerance, using the parallel distribution processing method, making quick lots of computing is possible. The mature prediction method in artificial intelligence, or the neural network method to forecast, this kind of algorithm has theoretical support to mature, reliable predictions of the information. In this paper, the authors analyze the market revenue prediction and error analysis of products based on fuzzy logic and artificial intelligence algorithms. The results of this paper can be concluded that the neural network algorithm has a high accuracy in predicting the future sales of the product, and the prediction error can be controlled within 4%. Through the establishment of the neural network model of future product sales forecast, we can predict the future product sales, can grasp the market direction, and make the enterprise get the maximum profit. Keywords Fuzzy algorithm · Neural network · Revenue prediction · Intelligent system
1 Introduction Forecasting is the basis of objective cognition of the essence and law of things. It describes the development of things in the future or judges the attributes of things through science and technology or experience. For sales forecasting, it is based on historical sales data of products, through analysis and research of various factors affecting the sales industry, and using reasonable methods and models, it is analyzed and predicted that the trend of sales, supply and demand changes and development law in the future period of time, so as to make a scientific evaluation of the situation of the sales industry and products. Estimate and budget, and show the trend of sales volume and sales amount of a specific product in a specific period of time in the future by time series. For sales forecasting, it is mainly divided into fashion products in the market share forecasting, sales target forecasting, product price forecasting, sales forecasting and so on. At present, our country is in the era of vigorous development of the Internet era. The development of e-commerce * Zhang Qingyuan [email protected] 1
College of Economics and Management, Northeast Agricultural University, Harbin 150030, China
is entering a new stage of intensive innovation and rapid expansion. It has increasingly become an important engine to stimulate our consumption demand, promote the upgrading of traditional industries and develop modern service industries. Throughout the current e-commerce industry, due to the popularity of mobile smart terminals and the continuous improvement of
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